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First, this study shows that these techniques are useful in identifying locations, defects, and failure intensities of infrastructure using the location metadata from geotags, words containing the locations, and the frequencies of tweets from each location.
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(lambda (t)) Failure intensity function.
Many existing NHPP models assume that failure intensity is proportional to the residual fault content.
A question that may arise is how a change in failure mechanism influences the failure intensity.
The software failure intensity (lambda (t)) is explained as the percentage of the removed errors in the software product.
The focus is on Birnbaum- and Criticality-type importances, both with respect to system unavailability and system failure intensity.
The effect of material heterogeneity on rock failure intensity in unconfined and confined compression tests is investigated.
The paper presents a set of experimental methods for analysis of robustness in discovery systems under increasing failure intensity.
It is commonly assumed that the software failure intensity is proportional to the remaining faults contained in the software in most existing NHPP models.
(lambda (t)= frac{{mathrm {d}}m(t)}{{mathrm {d}}t}) is the failure intensity function for the whole software system by time t.
For engineers, the system reliability level can be used to measure the progress of system testing by comparing the current software failure intensity with the desired one.
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